Data Profiling Report

Dataset statistics

Number of variables	39
Number of observations	12603
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.5 MiB
Average record size in memory	709.2 B

Variable types

Numeric	18
Categorical	19
Unsupported	2

Warnings

`open-end_line_of_credit` is highly correlated with `interest_only_payment`	High correlation
`interest_only_payment` is highly correlated with `open-end_line_of_credit`	High correlation
`construction_method` is highly correlated with `manufactured_home_secured_property_type` and 1 other fields	High correlation
`manufactured_home_secured_property_type` is highly correlated with `construction_method` and 1 other fields	High correlation
`manufactured_home_land_property_interest` is highly correlated with `construction_method` and 1 other fields	High correlation
`tract_population` is highly correlated with `tract_owner_occupied_units` and 1 other fields	High correlation
`tract_owner_occupied_units` is highly correlated with `tract_population` and 1 other fields	High correlation
`tract_one_to_four_family_homes` is highly correlated with `tract_population` and 1 other fields	High correlation
`business_or_commercial_purpose` is highly correlated with `occupancy_type`	High correlation
`open-end_line_of_credit` is highly correlated with `interest_only_payment`	High correlation
`derived_loan_product_type` is highly correlated with `lien_status` and 1 other fields	High correlation
`manufactured_home_land_property_interest` is highly correlated with `manufactured_home_secured_property_type` and 2 other fields	High correlation
`lien_status` is highly correlated with `derived_loan_product_type`	High correlation
`loan_type` is highly correlated with `derived_loan_product_type`	High correlation
`occupancy_type` is highly correlated with `business_or_commercial_purpose`	High correlation
`manufactured_home_secured_property_type` is highly correlated with `manufactured_home_land_property_interest` and 2 other fields	High correlation
`interest_only_payment` is highly correlated with `open-end_line_of_credit`	High correlation
`derived_dwelling_category` is highly correlated with `manufactured_home_land_property_interest` and 2 other fields	High correlation
`construction_method` is highly correlated with `manufactured_home_land_property_interest` and 2 other fields	High correlation
`income` is highly skewed (γ1 = 71.89451184)	Skewed
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`total_units` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`debt_to_income_ratio` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2021-05-02 06:38:22.238634
Analysis finished	2021-05-02 06:40:33.117600
Duration	2 minutes and 10.88 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	12603
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6302.900976
Minimum	0
Maximum	12613
Zeros	1
Zeros (%)	< 0.1%
Memory size	98.6 KiB

Quantile statistics

Minimum	0
5-th percentile	630.1
Q1	3150.5
median	6301
Q3	9454.5
95-th percentile	11980.9
Maximum	12613
Range	12613
Interquartile range (IQR)	6304

Descriptive statistics

Standard deviation	3640.781372
Coefficient of variation (CV)	0.5776358197
Kurtosis	-1.19945511
Mean	6302.900976
Median Absolute Deviation (MAD)	3152
Skewness	0.001245592556
Sum	79435461
Variance	13255289
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
11599	1	< 0.1%
3403	1	< 0.1%
1354	1	< 0.1%
7497	1	< 0.1%
5448	1	< 0.1%
11591	1	< 0.1%
9542	1	< 0.1%
3395	1	< 0.1%
1346	1	< 0.1%
Other values (12593)	12593	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
12613	1	< 0.1%
12612	1	< 0.1%
12611	1	< 0.1%
12610	1	< 0.1%
12609	1	< 0.1%
12608	1	< 0.1%
12607	1	< 0.1%
12606	1	< 0.1%
12605	1	< 0.1%
12604	1	< 0.1%

derived_msa-md
Real number (ℝ_≥0)

Distinct	185
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32715.393
Minimum	10580
Maximum	99999
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	10580
5-th percentile	10580
Q1	10580
median	29460
Q3	39100
95-th percentile	99999
Maximum	99999
Range	89419
Interquartile range (IQR)	28520

Descriptive statistics

Standard deviation	26682.20275
Coefficient of variation (CV)	0.8155855792
Kurtosis	1.573081912
Mean	32715.393
Median Absolute Deviation (MAD)	17080
Skewness	1.52611876
Sum	412312098
Variance	711939943.7
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10580	4496	35.7%
99999	1366	10.8%
36740	1288	10.2%
39100	654	5.2%
35614	639	5.1%
24020	576	4.6%
35840	364	2.9%
13780	309	2.5%
45060	228	1.8%
45300	203	1.6%
Other values (175)	2480	19.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10580	4496	35.7%
10740	2	< 0.1%
10900	5	< 0.1%
11244	1	< 0.1%
11460	1	< 0.1%
11540	8	0.1%
11700	6	< 0.1%
12060	1	< 0.1%
12220	1	< 0.1%
12420	5	< 0.1%

Value	Count	Frequency (%)
99999	1366	10.8%
49740	2	< 0.1%
49620	4	< 0.1%
49340	16	0.1%
49180	1	< 0.1%
48900	15	0.1%
48864	2	< 0.1%
48424	131	1.0%
48060	169	1.3%
47894	21	0.2%

state_code
Categorical

Distinct	35
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	727.0 KiB

NY	8623
FL	2591
CT	338
MA	130
NC	122
Other values (30)	799

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	25206
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	NY
2nd row	NY
3rd row	NY
4th row	NY
5th row	NY

Value	Count	Frequency (%)
NY	8623	68.4%
FL	2591	20.6%
CT	338	2.7%
MA	130	1.0%
NC	122	1.0%
NJ	107	0.8%
PA	96	0.8%
TX	87	0.7%
VT	79	0.6%
WI	44	0.3%
Other values (25)	386	3.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
ny	8623	68.4%
fl	2591	20.6%
ct	338	2.7%
ma	130	1.0%
nc	122	1.0%
nj	107	0.8%
pa	96	0.8%
tx	87	0.7%
vt	79	0.6%
wi	44	0.3%
Other values (25)	386	3.1%

Most occurring characters

Value	Count	Frequency (%)
N	8953	35.5%
Y	8628	34.2%
L	2643	10.5%
F	2591	10.3%
C	539	2.1%
T	533	2.1%
A	343	1.4%
M	214	0.8%
I	131	0.5%
V	118	0.5%
Other values (13)	513	2.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	25206	100.0%

Most frequent character per category

Value	Count	Frequency (%)
N	8953	35.5%
Y	8628	34.2%
L	2643	10.5%
F	2591	10.3%
C	539	2.1%
T	533	2.1%
A	343	1.4%
M	214	0.8%
I	131	0.5%
V	118	0.5%
Other values (13)	513	2.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25206	100.0%

Most frequent character per script

Value	Count	Frequency (%)
N	8953	35.5%
Y	8628	34.2%
L	2643	10.5%
F	2591	10.3%
C	539	2.1%
T	533	2.1%
A	343	1.4%
M	214	0.8%
I	131	0.5%
V	118	0.5%
Other values (13)	513	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25206	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	8953	35.5%
Y	8628	34.2%
L	2643	10.5%
F	2591	10.3%
C	539	2.1%
T	533	2.1%
A	343	1.4%
M	214	0.8%
I	131	0.5%
V	118	0.5%
Other values (13)	513	2.0%

county_code
Real number (ℝ_≥0)

Distinct	417
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30288.52265
Minimum	1003
Maximum	55139
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	1003
5-th percentile	12035
Q1	25003
median	36039
Q3	36091
95-th percentile	36119
Maximum	55139
Range	54136
Interquartile range (IQR)	11088

Descriptive statistics

Standard deviation	10976.75855
Coefficient of variation (CV)	0.3624065352
Kurtosis	-0.4961507518
Mean	30288.52265
Median Absolute Deviation (MAD)	52
Skewness	-0.9769146102
Sum	381726251
Variance	120489228.3
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36001	1448	11.5%
36091	1386	11.0%
36093	865	6.9%
36083	686	5.4%
12095	648	5.1%
12117	376	3.0%
36119	372	3.0%
36027	361	2.9%
36021	314	2.5%
36113	305	2.4%
Other values (407)	5842	46.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1003	2	< 0.1%
1031	1	< 0.1%
1033	1	< 0.1%
1047	1	< 0.1%
1069	1	< 0.1%
1073	5	< 0.1%
1081	1	< 0.1%
1089	2	< 0.1%
1115	1	< 0.1%
1117	1	< 0.1%

Value	Count	Frequency (%)
55139	5	< 0.1%
55135	1	< 0.1%
55133	4	< 0.1%
55129	1	< 0.1%
55127	1	< 0.1%
55109	1	< 0.1%
55099	1	< 0.1%
55097	1	< 0.1%
55095	1	< 0.1%
55089	3	< 0.1%

conforming_loan_limit
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	762.8 KiB

C	12450
NC	153

Length

Max length	2
Median length	1
Mean length	1.012139967
Min length	1

Characters and Unicode

Total characters	12756
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	C
2nd row	C
3rd row	C
4th row	C
5th row	C

Value	Count	Frequency (%)
C	12450	98.8%
NC	153	1.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
c	12450	98.8%
nc	153	1.2%

Most occurring characters

Value	Count	Frequency (%)
C	12603	98.8%
N	153	1.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	12756	100.0%

Most frequent character per category

Value	Count	Frequency (%)
C	12603	98.8%
N	153	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12756	100.0%

Most frequent character per script

Value	Count	Frequency (%)
C	12603	98.8%
N	153	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12756	100.0%

Most frequent character per block

Value	Count	Frequency (%)
C	12603	98.8%
N	153	1.2%

derived_loan_product_type
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.3 MiB

Conventional:First Lien	8715
FHA:First Lien	1680
Conventional:Subordinate Lien	1488
VA:First Lien	541
FSA/RHS:First Lien	179

Length

Max length	29
Median length	23
Mean length	22.0084107
Min length	13

Characters and Unicode

Total characters	277372
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	VA:First Lien
2nd row	VA:First Lien
3rd row	Conventional:First Lien
4th row	FHA:First Lien
5th row	FHA:First Lien

Value	Count	Frequency (%)
Conventional:First Lien	8715	69.2%
FHA:First Lien	1680	13.3%
Conventional:Subordinate Lien	1488	11.8%
VA:First Lien	541	4.3%
FSA/RHS:First Lien	179	1.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
lien	12603	50.0%
conventional:first	8715	34.6%
fha:first	1680	6.7%
conventional:subordinate	1488	5.9%
va:first	541	2.1%
fsa/rhs:first	179	0.7%

Most occurring characters

Value	Count	Frequency (%)
n	44700	16.1%
i	35409	12.8%
e	24294	8.8%
t	22806	8.2%
o	21894	7.9%
F	12974	4.7%
:	12603	4.5%
r	12603	4.5%
	12603	4.5%
L	12603	4.5%
Other values (14)	64883	23.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	209382	75.5%
Uppercase Letter	42605	15.4%
Other Punctuation	12782	4.6%
Space Separator	12603	4.5%

Most frequent character per category

Value	Count	Frequency (%)
n	44700	21.3%
i	35409	16.9%
e	24294	11.6%
t	22806	10.9%
o	21894	10.5%
r	12603	6.0%
a	11691	5.6%
s	11115	5.3%
v	10203	4.9%
l	10203	4.9%
Other values (3)	4464	2.1%

Value	Count	Frequency (%)
F	12974	30.5%
L	12603	29.6%
C	10203	23.9%
A	2400	5.6%
H	1859	4.4%
S	1846	4.3%
V	541	1.3%
R	179	0.4%

Value	Count	Frequency (%)
:	12603	98.6%
/	179	1.4%

Value	Count	Frequency (%)
	12603	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	251987	90.8%
Common	25385	9.2%

Most frequent character per script

Value	Count	Frequency (%)
n	44700	17.7%
i	35409	14.1%
e	24294	9.6%
t	22806	9.1%
o	21894	8.7%
F	12974	5.1%
r	12603	5.0%
L	12603	5.0%
a	11691	4.6%
s	11115	4.4%
Other values (11)	41898	16.6%

Value	Count	Frequency (%)
:	12603	49.6%
	12603	49.6%
/	179	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	277372	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	44700	16.1%
i	35409	12.8%
e	24294	8.8%
t	22806	8.2%
o	21894	7.9%
F	12974	4.7%
:	12603	4.5%
r	12603	4.5%
	12603	4.5%
L	12603	4.5%
Other values (14)	64883	23.4%

derived_dwelling_category
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

Single Family (1-4 Units):Site-Built	12513
Single Family (1-4 Units):Manufactured	76
Multifamily:Site-Built	14

Length

Max length	38
Median length	36
Mean length	35.99650877
Min length	22

Characters and Unicode

Total characters	453664
Distinct characters	27
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single Family (1-4 Units):Site-Built
2nd row	Single Family (1-4 Units):Site-Built
3rd row	Single Family (1-4 Units):Site-Built
4th row	Single Family (1-4 Units):Site-Built
5th row	Single Family (1-4 Units):Manufactured

Value	Count	Frequency (%)
Single Family (1-4 Units):Site-Built	12513	99.3%
Single Family (1-4 Units):Manufactured	76	0.6%
Multifamily:Site-Built	14	0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
single	12589	25.0%
1-4	12589	25.0%
family	12589	25.0%
units):site-built	12513	24.8%
units):manufactured	76	0.2%
multifamily:site-built	14	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
i	62849	13.9%
	37767	8.3%
l	37733	8.3%
t	37733	8.3%
n	25254	5.6%
e	25192	5.6%
S	25116	5.5%
-	25116	5.5%
a	12755	2.8%
u	12693	2.8%
Other values (17)	151456	33.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	264911	58.4%
Uppercase Letter	62911	13.9%
Space Separator	37767	8.3%
Decimal Number	25178	5.5%
Dash Punctuation	25116	5.5%
Other Punctuation	12603	2.8%
Open Punctuation	12589	2.8%
Close Punctuation	12589	2.8%

Most frequent character per category

Value	Count	Frequency (%)
i	62849	23.7%
l	37733	14.2%
t	37733	14.2%
n	25254	9.5%
e	25192	9.5%
a	12755	4.8%
u	12693	4.8%
m	12603	4.8%
y	12603	4.8%
g	12589	4.8%
Other values (5)	12907	4.9%

Value	Count	Frequency (%)
S	25116	39.9%
F	12589	20.0%
U	12589	20.0%
B	12527	19.9%
M	90	0.1%

Value	Count	Frequency (%)
1	12589	50.0%
4	12589	50.0%

Value	Count	Frequency (%)
	37767	100.0%

Value	Count	Frequency (%)
(	12589	100.0%

Value	Count	Frequency (%)
-	25116	100.0%

Value	Count	Frequency (%)
)	12589	100.0%

Value	Count	Frequency (%)
:	12603	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	327822	72.3%
Common	125842	27.7%

Most frequent character per script

Value	Count	Frequency (%)
i	62849	19.2%
l	37733	11.5%
t	37733	11.5%
n	25254	7.7%
e	25192	7.7%
S	25116	7.7%
a	12755	3.9%
u	12693	3.9%
m	12603	3.8%
y	12603	3.8%
Other values (10)	63291	19.3%

Value	Count	Frequency (%)
	37767	30.0%
-	25116	20.0%
:	12603	10.0%
(	12589	10.0%
1	12589	10.0%
4	12589	10.0%
)	12589	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	453664	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	62849	13.9%
	37767	8.3%
l	37733	8.3%
t	37733	8.3%
n	25254	5.6%
e	25192	5.6%
S	25116	5.5%
-	25116	5.5%
a	12755	2.8%
u	12693	2.8%
Other values (17)	151456	33.4%

action_taken
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

1	9985
3	1624
4	521
2	345
5	128

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	9985	79.2%
3	1624	12.9%
4	521	4.1%
2	345	2.7%
5	128	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	9985	79.2%
3	1624	12.9%
4	521	4.1%
2	345	2.7%
5	128	1.0%

Most occurring characters

Value	Count	Frequency (%)
1	9985	79.2%
3	1624	12.9%
4	521	4.1%
2	345	2.7%
5	128	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	9985	79.2%
3	1624	12.9%
4	521	4.1%
2	345	2.7%
5	128	1.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	9985	79.2%
3	1624	12.9%
4	521	4.1%
2	345	2.7%
5	128	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	9985	79.2%
3	1624	12.9%
4	521	4.1%
2	345	2.7%
5	128	1.0%

loan_type
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

1	10203
2	1680
3	541
4	179

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	1
4th row	2
5th row	2

Value	Count	Frequency (%)
1	10203	81.0%
2	1680	13.3%
3	541	4.3%
4	179	1.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	10203	81.0%
2	1680	13.3%
3	541	4.3%
4	179	1.4%

Most occurring characters

Value	Count	Frequency (%)
1	10203	81.0%
2	1680	13.3%
3	541	4.3%
4	179	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	10203	81.0%
2	1680	13.3%
3	541	4.3%
4	179	1.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	10203	81.0%
2	1680	13.3%
3	541	4.3%
4	179	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	10203	81.0%
2	1680	13.3%
3	541	4.3%
4	179	1.4%

loan_purpose
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

1	8171
32	2079
4	1003
31	768
2	582

Length

Max length	2
Median length	1
Mean length	1.225898596
Min length	1

Characters and Unicode

Total characters	15450
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	8171	64.8%
32	2079	16.5%
4	1003	8.0%
31	768	6.1%
2	582	4.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	8171	64.8%
32	2079	16.5%
4	1003	8.0%
31	768	6.1%
2	582	4.6%

Most occurring characters

Value	Count	Frequency (%)
1	8939	57.9%
3	2847	18.4%
2	2661	17.2%
4	1003	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	15450	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	8939	57.9%
3	2847	18.4%
2	2661	17.2%
4	1003	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	15450	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	8939	57.9%
3	2847	18.4%
2	2661	17.2%
4	1003	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15450	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	8939	57.9%
3	2847	18.4%
2	2661	17.2%
4	1003	6.5%

lien_status
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

1	11115
2	1488

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	11115	88.2%
2	1488	11.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	11115	88.2%
2	1488	11.8%

Most occurring characters

Value	Count	Frequency (%)
1	11115	88.2%
2	1488	11.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	11115	88.2%
2	1488	11.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	11115	88.2%
2	1488	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	11115	88.2%
2	1488	11.8%

open-end_line_of_credit
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

2	10862
1	1741

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Value	Count	Frequency (%)
2	10862	86.2%
1	1741	13.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	10862	86.2%
1	1741	13.8%

Most occurring characters

Value	Count	Frequency (%)
2	10862	86.2%
1	1741	13.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	10862	86.2%
1	1741	13.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	10862	86.2%
1	1741	13.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	10862	86.2%
1	1741	13.8%

business_or_commercial_purpose
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

2	12574
1	29

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Value	Count	Frequency (%)
2	12574	99.8%
1	29	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	12574	99.8%
1	29	0.2%

Most occurring characters

Value	Count	Frequency (%)
2	12574	99.8%
1	29	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	12574	99.8%
1	29	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	12574	99.8%
1	29	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	12574	99.8%
1	29	0.2%

loan_amount
Real number (ℝ_≥0)

Distinct	90
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	200331.2703
Minimum	5000
Maximum	4855000
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	5000
5-th percentile	35000
Q1	115000
median	185000
Q3	265000
95-th percentile	425000
Maximum	4855000
Range	4850000
Interquartile range (IQR)	150000

Descriptive statistics

Standard deviation	128800.4833
Coefficient of variation (CV)	0.6429374861
Kurtosis	139.4477469
Mean	200331.2703
Median Absolute Deviation (MAD)	70000
Skewness	4.903971566
Sum	2524775000
Variance	1.658956451 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
205000	510	4.0%
155000	493	3.9%
165000	490	3.9%
125000	482	3.8%
145000	479	3.8%
105000	448	3.6%
135000	443	3.5%
175000	439	3.5%
185000	423	3.4%
115000	407	3.2%
Other values (80)	7989	63.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5000	31	0.2%
15000	173	1.4%
25000	276	2.2%
35000	231	1.8%
45000	230	1.8%
55000	360	2.9%
65000	287	2.3%
75000	310	2.5%
85000	342	2.7%
95000	301	2.4%

Value	Count	Frequency (%)
4855000	1	< 0.1%
1725000	1	< 0.1%
1405000	1	< 0.1%
1255000	1	< 0.1%
1215000	1	< 0.1%
1205000	1	< 0.1%
1165000	1	< 0.1%
1015000	1	< 0.1%
1005000	3	< 0.1%
925000	1	< 0.1%

loan_to_value_ratio
Real number (ℝ_≥0)

Distinct	4173
Distinct (%)	33.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	82.62322292
Minimum	3.053
Maximum	283.333
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	3.053
5-th percentile	42.5311
Q1	79.3135
median	89.1445
Q3	95
95-th percentile	100
Maximum	283.333
Range	280.28
Interquartile range (IQR)	15.6865

Descriptive statistics

Standard deviation	17.85693813
Coefficient of variation (CV)	0.2161249283
Kurtosis	4.787500233
Mean	82.62322292
Median Absolute Deviation (MAD)	7.3555
Skewness	-1.507632189
Sum	1041300.478
Variance	318.8702394
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
89.1445	1385	11.0%
95	1175	9.3%
96.5	1131	9.0%
80	1114	8.8%
90	586	4.6%
100	468	3.7%
89.5	451	3.6%
97	337	2.7%
85	158	1.3%
75	153	1.2%
Other values (4163)	5645	44.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.053	1	< 0.1%
3.12	1	< 0.1%
4	2	< 0.1%
4.082	1	< 0.1%
4.444	1	< 0.1%
4.545	2	< 0.1%
5	2	< 0.1%
5.137	1	< 0.1%
5.435	1	< 0.1%
6.667	1	< 0.1%

Value	Count	Frequency (%)
283.333	1	< 0.1%
243.951	1	< 0.1%
171.429	1	< 0.1%
158.38	1	< 0.1%
153.439	1	< 0.1%
145.438	1	< 0.1%
145.208	1	< 0.1%
142.923	1	< 0.1%
130.968	1	< 0.1%
129.752	1	< 0.1%

interest_rate
Real number (ℝ_≥0)

Distinct	39
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.933832024
Minimum	1.99
Maximum	8.5
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	1.99
5-th percentile	2.99
Q1	3.625
median	3.875
Q3	4.25
95-th percentile	4.99
Maximum	8.5
Range	6.51
Interquartile range (IQR)	0.625

Descriptive statistics

Standard deviation	0.5496505619
Coefficient of variation (CV)	0.1397239533
Kurtosis	1.925694237
Mean	3.933832024
Median Absolute Deviation (MAD)	0.25
Skewness	0.4113472955
Sum	49578.085
Variance	0.3021157402
Monotocity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
3.875	2904	23.0%
3.75	1317	10.4%
3.625	1290	10.2%
2.99	886	7.0%
3.5	711	5.6%
4	689	5.5%
4.125	667	5.3%
4.25	625	5.0%
4.5	503	4.0%
4.375	457	3.6%
Other values (29)	2554	20.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.99	74	0.6%
2.75	16	0.1%
2.875	18	0.1%
2.99	886	7.0%
3	40	0.3%
3.125	55	0.4%
3.25	154	1.2%
3.375	306	2.4%
3.5	711	5.6%
3.625	1290	10.2%

Value	Count	Frequency (%)
8.5	1	< 0.1%
7.5	1	< 0.1%
7	2	< 0.1%
6.5	4	< 0.1%
6.125	1	< 0.1%
6	15	0.1%
5.875	16	0.1%
5.75	19	0.2%
5.625	26	0.2%
5.5	35	0.3%

rate_spread
Real number (ℝ)

Distinct	2224
Distinct (%)	17.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1920783544
Minimum	-3.03
Maximum	2.967
Zeros	17
Zeros (%)	0.1%
Memory size	98.6 KiB

Quantile statistics

Minimum	-3.03
5-th percentile	-1.679
Q1	-0.036
median	0.1815
Q3	0.521
95-th percentile	1.4419
Maximum	2.967
Range	5.997
Interquartile range (IQR)	0.557

Descriptive statistics

Standard deviation	0.7987480285
Coefficient of variation (CV)	4.158448937
Kurtosis	2.750604743
Mean	0.1920783544
Median Absolute Deviation (MAD)	0.2545
Skewness	-1.006302713
Sum	2420.7635
Variance	0.637998413
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1815	2299	18.2%
-2.21	61	0.5%
-1.62	51	0.4%
-2.05	48	0.4%
-2.16	41	0.3%
-2.68	40	0.3%
-1.46	36	0.3%
-1.38	35	0.3%
-1.94	35	0.3%
-2.18	33	0.3%
Other values (2214)	9924	78.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-3.03	1	< 0.1%
-2.94	2	< 0.1%
-2.74	21	0.2%
-2.68	40	0.3%
-2.67	1	< 0.1%
-2.35	13	0.1%
-2.33	24	0.2%
-2.31	14	0.1%
-2.28	6	< 0.1%
-2.27	14	0.1%

Value	Count	Frequency (%)
2.967	1	< 0.1%
2.671	1	< 0.1%
2.623	1	< 0.1%
2.528	1	< 0.1%
2.493	1	< 0.1%
2.463	1	< 0.1%
2.46	1	< 0.1%
2.441	1	< 0.1%
2.437	1	< 0.1%
2.434	1	< 0.1%

hoepa_status
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

2	9491
3	3112

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Value	Count	Frequency (%)
2	9491	75.3%
3	3112	24.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	9491	75.3%
3	3112	24.7%

Most occurring characters

Value	Count	Frequency (%)
2	9491	75.3%
3	3112	24.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	9491	75.3%
3	3112	24.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	9491	75.3%
3	3112	24.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	9491	75.3%
3	3112	24.7%

loan_term
Real number (ℝ_≥0)

Distinct	70
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	338.3991113
Minimum	12
Maximum	369
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	12
5-th percentile	180
Q1	360
median	360
Q3	360
95-th percentile	360
Maximum	369
Range	357
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	55.87362068
Coefficient of variation (CV)	0.1651116058
Kurtosis	5.346225581
Mean	338.3991113
Median Absolute Deviation (MAD)	0
Skewness	-2.538234093
Sum	4264844
Variance	3121.861488
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360	10438	82.8%
180	670	5.3%
240	558	4.4%
368	186	1.5%
120	99	0.8%
311	81	0.6%
310	69	0.5%
161	63	0.5%
312	62	0.5%
309	58	0.5%
Other values (60)	319	2.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12	3	< 0.1%
60	16	0.1%
65	1	< 0.1%
84	5	< 0.1%
96	3	< 0.1%
108	4	< 0.1%
109	6	< 0.1%
110	1	< 0.1%
120	99	0.8%
129	1	< 0.1%

Value	Count	Frequency (%)
369	1	< 0.1%
368	186	1.5%
366	6	< 0.1%
365	5	< 0.1%
364	1	< 0.1%
363	1	< 0.1%
360	10438	82.8%
348	4	< 0.1%
336	6	< 0.1%
324	3	< 0.1%

interest_only_payment
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

2	10649
1	1954

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Value	Count	Frequency (%)
2	10649	84.5%
1	1954	15.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	10649	84.5%
1	1954	15.5%

Most occurring characters

Value	Count	Frequency (%)
2	10649	84.5%
1	1954	15.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	10649	84.5%
1	1954	15.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	10649	84.5%
1	1954	15.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	10649	84.5%
1	1954	15.5%

balloon_payment
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

2	12581
1	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Value	Count	Frequency (%)
2	12581	99.8%
1	22	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	12581	99.8%
1	22	0.2%

Most occurring characters

Value	Count	Frequency (%)
2	12581	99.8%
1	22	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	12581	99.8%
1	22	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	12581	99.8%
1	22	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	12581	99.8%
1	22	0.2%

property_value
Real number (ℝ_≥0)

Distinct	127
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	281557.1689
Minimum	35000
Maximum	8405000
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	35000
5-th percentile	105000
Q1	185000
median	255000
Q3	335000
95-th percentile	555000
Maximum	8405000
Range	8370000
Interquartile range (IQR)	150000

Descriptive statistics

Standard deviation	169865.3078
Coefficient of variation (CV)	0.6033066337
Kurtosis	426.5376861
Mean	281557.1689
Median Absolute Deviation (MAD)	70000
Skewness	10.68325038
Sum	3548465000
Variance	2.885422279 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
255000	1744	13.8%
175000	391	3.1%
215000	384	3.0%
205000	375	3.0%
195000	370	2.9%
225000	366	2.9%
235000	364	2.9%
165000	360	2.9%
185000	355	2.8%
265000	352	2.8%
Other values (117)	7542	59.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
35000	2	< 0.1%
45000	10	0.1%
55000	49	0.4%
65000	83	0.7%
75000	122	1.0%
85000	164	1.3%
95000	157	1.2%
105000	166	1.3%
115000	215	1.7%
125000	305	2.4%

Value	Count	Frequency (%)
8405000	1	< 0.1%
2485000	1	< 0.1%
2205000	1	< 0.1%
2135000	2	< 0.1%
1875000	1	< 0.1%
1855000	1	< 0.1%
1775000	1	< 0.1%
1755000	1	< 0.1%
1745000	2	< 0.1%
1705000	1	< 0.1%

construction_method
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

1	12527
2	76

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	2

Value	Count	Frequency (%)
1	12527	99.4%
2	76	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	12527	99.4%
2	76	0.6%

Most occurring characters

Value	Count	Frequency (%)
1	12527	99.4%
2	76	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	12527	99.4%
2	76	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	12527	99.4%
2	76	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	12527	99.4%
2	76	0.6%

occupancy_type
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

1	12062
2	515
3	26

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	12062	95.7%
2	515	4.1%
3	26	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	12062	95.7%
2	515	4.1%
3	26	0.2%

Most occurring characters

Value	Count	Frequency (%)
1	12062	95.7%
2	515	4.1%
3	26	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	12062	95.7%
2	515	4.1%
3	26	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	12062	95.7%
2	515	4.1%
3	26	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	12062	95.7%
2	515	4.1%
3	26	0.2%

manufactured_home_secured_property_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

3	12527
1	76

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	1

Value	Count	Frequency (%)
3	12527	99.4%
1	76	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
3	12527	99.4%
1	76	0.6%

Most occurring characters

Value	Count	Frequency (%)
3	12527	99.4%
1	76	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
3	12527	99.4%
1	76	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
3	12527	99.4%
1	76	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
3	12527	99.4%
1	76	0.6%

manufactured_home_land_property_interest
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

5	12527
1	76

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	5
2nd row	5
3rd row	5
4th row	5
5th row	1

Value	Count	Frequency (%)
5	12527	99.4%
1	76	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
5	12527	99.4%
1	76	0.6%

Most occurring characters

Value	Count	Frequency (%)
5	12527	99.4%
1	76	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
5	12527	99.4%
1	76	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
5	12527	99.4%
1	76	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
5	12527	99.4%
1	76	0.6%

total_units
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	443.2 KiB

income
Real number (ℝ_≥0)

SKEWED

Distinct	470
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	106.9553281
Minimum	0
Maximum	15211
Zeros	13
Zeros (%)	0.1%
Memory size	98.6 KiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	59
median	87
Q3	130
95-th percentile	232
Maximum	15211
Range	15211
Interquartile range (IQR)	71

Descriptive statistics

Standard deviation	156.7412478
Coefficient of variation (CV)	1.465483305
Kurtosis	6851.831888
Mean	106.9553281
Median Absolute Deviation (MAD)	33
Skewness	71.89451184
Sum	1347958
Variance	24567.81875
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
87	189	1.5%
60	153	1.2%
65	146	1.2%
50	137	1.1%
52	135	1.1%
73	134	1.1%
75	134	1.1%
55	131	1.0%
48	128	1.0%
62	127	1.0%
Other values (460)	11189	88.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	13	0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	3	< 0.1%
6	4	< 0.1%
7	3	< 0.1%
8	6	< 0.1%
9	5	< 0.1%

Value	Count	Frequency (%)
15211	1	< 0.1%
2784	1	< 0.1%
1632	1	< 0.1%
1356	1	< 0.1%
1278	1	< 0.1%
1275	1	< 0.1%
1171	1	< 0.1%
1114	1	< 0.1%
901	1	< 0.1%
878	1	< 0.1%

debt_to_income_ratio
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	650.3 KiB

applicant_credit_score_type
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

2	7502
1	2302
3	2111
9	687
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12603
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	2
2nd row	3
3rd row	2
4th row	2
5th row	3

Value	Count	Frequency (%)
2	7502	59.5%
1	2302	18.3%
3	2111	16.7%
9	687	5.5%
4	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	7502	59.5%
1	2302	18.3%
3	2111	16.7%
9	687	5.5%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
2	7502	59.5%
1	2302	18.3%
3	2111	16.7%
9	687	5.5%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	12603	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	7502	59.5%
1	2302	18.3%
3	2111	16.7%
9	687	5.5%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	12603	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	7502	59.5%
1	2302	18.3%
3	2111	16.7%
9	687	5.5%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12603	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	7502	59.5%
1	2302	18.3%
3	2111	16.7%
9	687	5.5%
4	1	< 0.1%

co-applicant_credit_score_type
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	98.6 KiB

10	6615
2	3518
1	945
3	856
9	669

Length

Max length	2
Median length	2
Mean length	1.52487503
Min length	1

Characters and Unicode

Total characters	19218
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	10
3rd row	3
4th row	3
5th row	10

Value	Count	Frequency (%)
10	6615	52.5%
2	3518	27.9%
1	945	7.5%
3	856	6.8%
9	669	5.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
10	6615	52.5%
2	3518	27.9%
1	945	7.5%
3	856	6.8%
9	669	5.3%

Most occurring characters

Value	Count	Frequency (%)
1	7560	39.3%
0	6615	34.4%
2	3518	18.3%
3	856	4.5%
9	669	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19218	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	7560	39.3%
0	6615	34.4%
2	3518	18.3%
3	856	4.5%
9	669	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	19218	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	7560	39.3%
0	6615	34.4%
2	3518	18.3%
3	856	4.5%
9	669	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19218	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	7560	39.3%
0	6615	34.4%
2	3518	18.3%
3	856	4.5%
9	669	3.5%

denial_reason-1
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	9.047131635
Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	10
median	10
Q3	10
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.563400237
Coefficient of variation (CV)	0.2833384481
Kurtosis	4.066688572
Mean	9.047131635
Median Absolute Deviation (MAD)	0
Skewness	-2.415693159
Sum	114021
Variance	6.571020775
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
10	10979	87.1%
1	671	5.3%
3	631	5.0%
4	200	1.6%
9	69	0.5%
6	35	0.3%
2	18	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	671	5.3%
2	18	0.1%
3	631	5.0%
4	200	1.6%
6	35	0.3%
9	69	0.5%
10	10979	87.1%

Value	Count	Frequency (%)
10	10979	87.1%
9	69	0.5%
6	35	0.3%
4	200	1.6%
3	631	5.0%
2	18	0.1%
1	671	5.3%

tract_population
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	2493
Distinct (%)	19.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5430.410378
Minimum	176
Maximum	53812
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	176
5-th percentile	2120.4
Q1	3500
median	4838
Q3	6375
95-th percentile	10053
Maximum	53812
Range	53636
Interquartile range (IQR)	2875

Descriptive statistics

Standard deviation	3646.080451
Coefficient of variation (CV)	0.6714189531
Kurtosis	30.5335415
Mean	5430.410378
Median Absolute Deviation (MAD)	1425
Skewness	4.429809666
Sum	68439462
Variance	13293902.66
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3620	92	0.7%
7851	81	0.6%
4928	77	0.6%
6709	69	0.5%
5938	67	0.5%
8981	66	0.5%
8282	63	0.5%
5610	62	0.5%
7949	59	0.5%
6462	56	0.4%
Other values (2483)	11911	94.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
176	1	< 0.1%
789	1	< 0.1%
825	3	< 0.1%
848	2	< 0.1%
886	3	< 0.1%
914	1	< 0.1%
931	2	< 0.1%
936	18	0.1%
960	2	< 0.1%
983	6	< 0.1%

Value	Count	Frequency (%)
53812	2	< 0.1%
38169	6	< 0.1%
35527	39	0.3%
31493	1	< 0.1%
30258	37	0.3%
26173	1	< 0.1%
26002	27	0.2%
24856	1	< 0.1%
22620	1	< 0.1%
20350	4	< 0.1%

tract_minority_population_percent
Real number (ℝ_≥0)

Distinct	2287
Distinct (%)	18.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	19.29336348
Minimum	0.22
Maximum	99.39
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	0.22
5-th percentile	2.59
Q1	6.49
median	12.76
Q3	26.26
95-th percentile	59.063
Maximum	99.39
Range	99.17
Interquartile range (IQR)	19.77

Descriptive statistics

Standard deviation	18.25149059
Coefficient of variation (CV)	0.9459983792
Kurtosis	2.413064939
Mean	19.29336348
Median Absolute Deviation (MAD)	7.51
Skewness	1.628360332
Sum	243154.26
Variance	333.1169086
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14.53	121	1.0%
7.27	86	0.7%
10.32	84	0.7%
8.81	78	0.6%
16.12	73	0.6%
5.93	69	0.5%
7.69	68	0.5%
7.34	66	0.5%
3.53	65	0.5%
9.07	61	0.5%
Other values (2277)	11832	93.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.22	1	< 0.1%
0.26	1	< 0.1%
0.29	1	< 0.1%
0.33	9	0.1%
0.37	20	0.2%
0.41	10	0.1%
0.46	3	< 0.1%
0.54	1	< 0.1%
0.61	2	< 0.1%
0.69	3	< 0.1%

Value	Count	Frequency (%)
99.39	1	< 0.1%
99.37	1	< 0.1%
98.91	1	< 0.1%
98.79	1	< 0.1%
98.44	1	< 0.1%
98.16	1	< 0.1%
97.55	1	< 0.1%
97.4	1	< 0.1%
96.58	1	< 0.1%
95.46	1	< 0.1%

ffiec_msa_md_median_family_income
Real number (ℝ_≥0)

Distinct	168
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	79651.69404
Minimum	48700
Maximum	124000
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	48700
5-th percentile	59500
Q1	66200
median	79300
Q3	89900
95-th percentile	96700
Maximum	124000
Range	75300
Interquartile range (IQR)	23700

Descriptive statistics

Standard deviation	12872.71643
Coefficient of variation (CV)	0.1616125883
Kurtosis	-0.614043873
Mean	79651.69404
Median Absolute Deviation (MAD)	10600
Skewness	0.1383076971
Sum	1003850300
Variance	165706828.4
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
89900	4496	35.7%
65100	1288	10.2%
66200	1183	9.4%
96700	654	5.2%
79300	646	5.1%
69700	581	4.6%
70900	365	2.9%
70500	317	2.5%
59500	247	2.0%
79500	228	1.8%
Other values (158)	2598	20.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
48700	2	< 0.1%
48800	1	< 0.1%
49700	3	< 0.1%
49800	1	< 0.1%
50100	7	0.1%
50200	25	0.2%
50800	13	0.1%
50900	2	< 0.1%
51600	5	< 0.1%
52700	1	< 0.1%

Value	Count	Frequency (%)
124000	25	0.2%
123600	3	< 0.1%
119000	61	0.5%
115500	55	0.4%
114700	21	0.2%
110100	8	0.1%
108100	6	< 0.1%
105800	1	< 0.1%
105500	14	0.1%
104200	5	< 0.1%

tract_to_msa_income_percentage
Real number (ℝ_≥0)

Distinct	246
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	114.4624296
Minimum	0
Maximum	370
Zeros	3
Zeros (%)	< 0.1%
Memory size	98.6 KiB

Quantile statistics

Minimum	0
5-th percentile	66
Q1	93
median	110
Q3	132
95-th percentile	176
Maximum	370
Range	370
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	34.89380011
Coefficient of variation (CV)	0.3048493749
Kurtosis	4.599868168
Mean	114.4624296
Median Absolute Deviation (MAD)	19
Skewness	1.236712018
Sum	1442570
Variance	1217.577286
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
109	370	2.9%
106	269	2.1%
94	250	2.0%
155	240	1.9%
116	229	1.8%
105	216	1.7%
143	212	1.7%
107	211	1.7%
114	205	1.6%
95	199	1.6%
Other values (236)	10202	80.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	< 0.1%
20	2	< 0.1%
21	4	< 0.1%
23	2	< 0.1%
24	1	< 0.1%
25	2	< 0.1%
27	3	< 0.1%
28	13	0.1%
29	2	< 0.1%
31	3	< 0.1%

Value	Count	Frequency (%)
370	4	< 0.1%
359	1	< 0.1%
354	3	< 0.1%
345	1	< 0.1%
342	1	< 0.1%
309	2	< 0.1%
307	2	< 0.1%
306	2	< 0.1%
305	1	< 0.1%
303	9	0.1%

tract_owner_occupied_units
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1725
Distinct (%)	13.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1508.862572
Minimum	13
Maximum	19529
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	13
5-th percentile	483
Q1	921
median	1359
Q3	1868
95-th percentile	2673
Maximum	19529
Range	19516
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	1026.451017
Coefficient of variation (CV)	0.6802813167
Kurtosis	64.47167949
Mean	1508.862572
Median Absolute Deviation (MAD)	468
Skewness	5.620791479
Sum	19016195
Variance	1053601.691
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2601	82	0.7%
1342	79	0.6%
2063	74	0.6%
2025	67	0.5%
2417	66	0.5%
2250	63	0.5%
1608	63	0.5%
2631	63	0.5%
2348	63	0.5%
2268	63	0.5%
Other values (1715)	11920	94.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
13	2	< 0.1%
40	1	< 0.1%
78	2	< 0.1%
97	2	< 0.1%
104	1	< 0.1%
136	1	< 0.1%
139	1	< 0.1%
140	2	< 0.1%
159	3	< 0.1%
166	2	< 0.1%

Value	Count	Frequency (%)
19529	6	< 0.1%
13975	2	< 0.1%
9575	39	0.3%
7909	1	< 0.1%
7748	37	0.3%
7554	1	< 0.1%
6978	4	< 0.1%
6938	4	< 0.1%
6602	27	0.2%
5422	1	< 0.1%

tract_one_to_four_family_homes
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1891
Distinct (%)	15.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2106.614536
Minimum	40
Maximum	25391
Zeros	0
Zeros (%)	0.0%
Memory size	98.6 KiB

Quantile statistics

Minimum	40
5-th percentile	870
Q1	1374
median	1913
Q3	2460
95-th percentile	3924
Maximum	25391
Range	25351
Interquartile range (IQR)	1086

Descriptive statistics

Standard deviation	1348.236551
Coefficient of variation (CV)	0.6400015419
Kurtosis	62.02075644
Mean	2106.614536
Median Absolute Deviation (MAD)	547
Skewness	5.679071669
Sum	26549663
Variance	1817741.798
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2407	96	0.8%
3011	81	0.6%
1591	81	0.6%
2099	73	0.6%
2529	67	0.5%
4019	66	0.5%
1570	65	0.5%
2016	64	0.5%
3087	63	0.5%
2472	62	0.5%
Other values (1881)	11885	94.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40	1	< 0.1%
86	2	< 0.1%
89	1	< 0.1%
101	1	< 0.1%
110	1	< 0.1%
116	3	< 0.1%
126	1	< 0.1%
135	1	< 0.1%
138	1	< 0.1%
206	2	< 0.1%

Value	Count	Frequency (%)
25391	6	< 0.1%
15386	2	< 0.1%
13108	39	0.3%
10606	37	0.3%
10125	1	< 0.1%
9840	1	< 0.1%
8817	4	< 0.1%
8788	4	< 0.1%
8267	27	0.2%
7759	1	< 0.1%

tract_median_age_of_housing_units
Real number (ℝ_≥0)

Distinct	70
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	42.71863842
Minimum	0
Maximum	76
Zeros	44
Zeros (%)	0.3%
Memory size	98.6 KiB

Quantile statistics

Minimum	0
5-th percentile	13
Q1	30
median	42
Q3	55
95-th percentile	76
Maximum	76
Range	76
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	17.7893034
Coefficient of variation (CV)	0.4164295505
Kurtosis	-0.6009010148
Mean	42.71863842
Median Absolute Deviation (MAD)	12
Skewness	0.1445864726
Sum	538383
Variance	316.4593153
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76	1092	8.7%
41	453	3.6%
45	451	3.6%
47	426	3.4%
30	329	2.6%
52	320	2.5%
32	304	2.4%
44	299	2.4%
42	281	2.2%
29	279	2.2%
Other values (60)	8369	66.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	44	0.3%
8	7	0.1%
9	9	0.1%
10	62	0.5%
11	140	1.1%
12	217	1.7%
13	181	1.4%
14	257	2.0%
15	102	0.8%
16	63	0.5%

Value	Count	Frequency (%)
76	1092	8.7%
75	16	0.1%
74	27	0.2%
73	44	0.3%
72	26	0.2%
71	63	0.5%
70	27	0.2%
69	55	0.4%
68	50	0.4%
67	10	0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	derived_msa-md	state_code	county_code	conforming_loan_limit	derived_loan_product_type	derived_dwelling_category	action_taken	loan_type	loan_purpose	lien_status	open-end_line_of_credit	business_or_commercial_purpose	loan_amount	loan_to_value_ratio	interest_rate	rate_spread	hoepa_status	loan_term	interest_only_payment	balloon_payment	property_value	construction_method	occupancy_type	manufactured_home_secured_property_type	manufactured_home_land_property_interest	total_units	income	debt_to_income_ratio	applicant_credit_score_type	co-applicant_credit_score_type	denial_reason-1	tract_population	tract_minority_population_percent	ffiec_msa_md_median_family_income	tract_to_msa_income_percentage	tract_owner_occupied_units	tract_one_to_four_family_homes	tract_median_age_of_housing_units
0	0	99999	NY	36039	C	VA:First Lien	Single Family (1-4 Units):Site-Built	1	3	1	1	2	2	165000	100.000	3.625	0.280	2	360	2	2	155000.0	1	1	3	5	1	68.0	41	2	1	10	2765	6.84	66200	111	679	1164	73
1	1	10580	NY	36095	C	VA:First Lien	Single Family (1-4 Units):Site-Built	1	3	1	1	2	2	75000	100.000	5.375	0.844	2	360	2	2	75000.0	1	1	3	5	1	47.0	49	3	10	10	5400	5.67	89900	79	1583	2362	48
2	2	39100	NY	36071	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	1	1	2	2	285000	95.000	3.500	0.038	2	360	2	2	295000.0	1	1	3	5	1	288.0	20%-<30%	2	3	10	10019	35.25	96700	121	2620	3255	27
3	3	10580	NY	36001	C	FHA:First Lien	Single Family (1-4 Units):Site-Built	1	2	1	1	2	2	115000	96.500	5.000	1.231	2	360	2	2	115000.0	1	1	3	5	1	61.0	50%-60%	2	3	10	3343	12.23	89900	59	494	1335	76
4	4	99999	NY	36039	C	FHA:First Lien	Single Family (1-4 Units):Manufactured	1	2	1	1	2	2	135000	96.500	5.250	1.782	2	360	2	2	135000.0	2	1	1	1	1	43.0	50%-60%	3	10	10	3939	5.28	66200	105	998	2029	42
5	5	99999	NY	36039	C	FHA:First Lien	Single Family (1-4 Units):Site-Built	1	2	1	1	2	2	135000	73.054	4.000	1.008	2	360	2	2	185000.0	1	1	3	5	1	46.0	48	3	10	10	4005	13.73	66200	107	1094	1899	44
6	6	10580	NY	36091	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	1	1	2	2	205000	95.000	4.625	0.005	2	360	2	2	215000.0	1	1	3	5	1	120.0	43	1	1	10	5629	12.36	89900	95	1203	2295	76
7	7	99999	NY	36039	C	FHA:First Lien	Single Family (1-4 Units):Site-Built	1	2	1	1	2	2	165000	88.333	5.250	1.733	2	360	2	2	185000.0	1	1	3	5	1	80.0	45	1	10	10	2695	2.08	66200	101	921	1867	45
8	8	35614	NY	36079	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	1	1	2	2	675000	79.029	5.125	0.716	2	360	2	2	865000.0	1	1	3	5	1	244.0	49	3	1	10	3844	9.29	79300	198	1070	1529	42
9	9	49340	MA	25027	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	1	1	2	2	295000	80.000	4.625	0.585	2	360	2	2	375000.0	1	1	3	5	1	93.0	30%-<36%	1	1	10	4587	46.50	95300	45	462	1387	76

Last rows

	df_index	derived_msa-md	state_code	county_code	conforming_loan_limit	derived_loan_product_type	derived_dwelling_category	action_taken	loan_type	loan_purpose	lien_status	open-end_line_of_credit	business_or_commercial_purpose	loan_amount	loan_to_value_ratio	interest_rate	rate_spread	hoepa_status	loan_term	interest_only_payment	balloon_payment	property_value	construction_method	occupancy_type	manufactured_home_secured_property_type	manufactured_home_land_property_interest	total_units	income	debt_to_income_ratio	applicant_credit_score_type	co-applicant_credit_score_type	denial_reason-1	tract_population	tract_minority_population_percent	ffiec_msa_md_median_family_income	tract_to_msa_income_percentage	tract_owner_occupied_units	tract_one_to_four_family_homes	tract_median_age_of_housing_units
12593	12604	35614	NY	36119	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	3	1	1	1	2	2	365000	80.5270	3.875	0.1815	3	360	2	2	455000.0	1	1	3	5	1	137.0	30%-<36%	2	10	9	5058	57.10	79300	138	1117	472	59
12594	12605	36740	FL	12117	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	32	1	2	2	305000	85.8330	3.940	-0.0580	2	348	2	2	365000.0	1	1	3	5	1	126.0	40	2	2	10	8934	37.36	65100	153	2021	2410	19
12595	12606	10580	NY	36083	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	3	1	4	1	1	2	285000	89.1445	3.875	0.1815	3	360	1	2	255000.0	1	1	3	5	1	139.0	>60%	2	10	1	5728	0.37	89900	100	1920	2407	41
12596	12607	36740	FL	12117	C	Conventional:Subordinate Lien	Single Family (1-4 Units):Site-Built	1	1	32	2	1	2	155000	79.9100	2.990	-2.3500	2	360	1	2	375000.0	1	1	3	5	1	162.0	20%-<30%	2	2	10	6363	38.47	65100	121	1166	1738	30
12597	12608	35840	FL	12115	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	31	1	2	2	155000	57.4070	3.625	-0.3660	2	360	2	2	275000.0	1	1	3	5	1	87.0	40	2	10	10	4759	14.84	70900	119	1212	1794	31
12598	12609	45300	FL	12101	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	2	1	1	1	2	2	365000	89.4890	3.625	-0.1130	3	300	2	2	415000.0	1	1	3	5	1	100.0	30%-<36%	2	10	10	2927	10.11	66900	128	992	1514	28
12599	12610	36740	FL	12095	C	Conventional:Subordinate Lien	Single Family (1-4 Units):Site-Built	1	1	4	2	2	2	65000	83.2030	4.875	1.1650	2	240	2	2	195000.0	1	1	3	5	1	62.0	30%-<36%	2	2	10	10446	37.26	65100	217	1948	3055	12
12600	12611	35614	NY	36119	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	4	1	2	1	2	2	225000	89.1445	3.875	0.1815	3	360	2	2	255000.0	1	1	3	5	2	18.0	20%-<30%	9	9	10	6046	14.31	79300	264	1895	2116	40
12601	12612	36740	FL	12117	C	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	32	1	1	2	45000	15.5850	2.990	-1.5800	2	360	1	2	265000.0	1	1	3	5	1	14.0	>60%	2	10	10	7926	25.40	65100	159	2097	2839	20
12602	12613	10580	NY	36091	NC	Conventional:First Lien	Single Family (1-4 Units):Site-Built	1	1	1	1	2	2	495000	89.4620	3.625	-0.2390	2	360	2	2	555000.0	1	1	3	5	1	200.0	40	2	2	10	4333	2.91	89900	118	1357	1697	50

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters